Methods and apparatus for advancing time in a distributed business process simulation

ABSTRACT

Methods and apparatus for advancing time in a distributed business process simulation are disclosed. The methods and apparatus simulate an interdependent business process, such as a financial transaction system, in a secure distributed manner. Each business entity that is part of the interdependent business process models itself on a local client device at any chosen level of detail. A simulation server connects the separate client based simulations into one large simulation. Details of each local simulation may be hidden from other simulation participants. However, interruptions in business flow caused by simulated disruptions introduced at the simulation server and/or a client device are propagated to all of the effected simulation participants via the simulation server. In addition, simulation time may be warped from one breakpoint to another breakpoint thereby facilitating an efficient ratio of simulation time to real time.

PRIORITY CLAIM

This application is a continuation of U.S. patent application Ser. No.14/046,055 (now U.S. Pat. No. 8,983,824), filed on Oct. 4, 2013, whichis a continuation of U.S. patent application Ser. No. 13/299,521, filedon Nov. 18, 2011, now U.S. Pat. No. 8,554,533, which is acontinuation-in-part of U.S. patent application Ser. No. 13/187,700,filed on Jul. 21, 2011, now U.S. Pat. No. 8,370,123, which is acontinuation of U.S. patent application Ser. No. 12/828,777, filed onJul. 1, 2010, now U.S. Pat. No. 7,996,205, which is a continuation ofU.S. patent application Ser. No. 11/556,462, filed on Nov. 3, 2006, nowU.S. Pat. No. 7,752,027, which claims priority to and the benefit ofU.S. Provisional Patent Application Ser. No. 60/823,879 filed on Aug.29, 2006, the entire contents of each of which are hereby incorporated.

GOVERNMENT LICENSE RIGHTS

This invention was made with Government support under ContractFA8750-05-2-0021 awarded by the Air Force. The Government has certainrights in this invention.

TECHNICAL FIELD

The present disclosure relates in general to computer based simulations,and, in particular, to methods and apparatus for advancing time in adistributed business process simulation.

BACKGROUND

Administrators of complex business processes typically take precautionsto help ensure that their business processes continue to operate despitethe occurrences of certain unwanted events. For example, many businessprocesses use computer systems for at least a portion of the businessprocess. Often, precautions are taken to ensure that data continues toflow in to and out of these computer systems despite failures of certaindevices in the system. For example, backup storage systems and redundantcommunications paths are often used to increase the integrality of acomputing system.

However, these precautions are normally only taken within the particularentity. Typically, a business that relies on another business cannotforce the other business to build robust systems, and most businessesare not willing to share the internal details of their operation withother businesses. This is especially true in highly regulated businessessuch as banking, finance, health care, energy, etc. As a result, eachbusiness typically takes an approach that attempts to assume that anyincoming and/or outgoing communication path may be disrupted.

Network simulation tools help the administrator visualize what devicesare in his/her particular network and how those devices are connected toother devices in his/her network. In addition, network simulation toolsmay allow the administrator to make certain assumptions about devicesoutside of his/her business that have a direct relationship with one ormore devices inside his/her business.

However, these types of assumptions may not be accurate and typically donot take into account ripple effects caused by indirect relationshipswith other devices. In order to accurately simulate these rippleeffects, the network administrator would need to know information aboutdevices outside of his/her business. In addition, network simulationstools do not allow a user to simulate his overall business process. Forexample, if a portion of a business process is to manually switch from alocal call center to a foreign call center in the event of a failure atthe local call center, network simulations tools do not allow these“people processes” to be simulated, and business people are typicallynot willing to expose these types of business model details to otherorganizations.

Further, certain points or periods in time within a business simulationmay be more “interesting” to users than other time points or periods.For example, a controller of the business simulation may need to set oradjust various simulation parameters and/or inject one or moredisruptions at one or more points in the overall time simulated.Similarly, player participants in the simulation may need to set oradjust their own organizational parameters and intended organizationactions. In another example, controllers and players may be interestedin portions of the simulation where failures have occurred or the markethas taken a sudden shift. Existing business simulation tools do notproperly address these issues.

SUMMARY

The simulation system (i.e., methods, apparatus, and/or software)disclosed herein solves these problems. Unlike a network simulationtool, the disclosed business process simulation system allows enterprisemanagers to practice business responses in a risk free environment.Specifically, the simulation system disclosed herein uses a securedistributed model wherein each business entity models itself on a localclient device at any chosen level of detail, and a simulation serverconnects the separate client based simulations into one large simulationwithout exposing unauthorized details of one participant's internalsimulation details to another simulation participant. In this manner,business entities participating in the simulation can exercise differentfault scenarios and response strategies with other business entities. Ifa client device based model is not available, the server supplies asoftware agent to replace the inputs and outputs normally associatedwith that portion of the overall simulation. Interruptions in data andother business process flows caused by simulated disruptions introducedat the simulation server and/or a client device are propagated to all ofthe affected simulation participants via the simulation server. As eachsimulation participant receives the updated simulation scenario,business decisions are made by the simulation participants, and theeffect of those decisions is propagated to all of the simulationparticipants. As a result, each simulation participant can share thebenefit of an accurate model of its portion of the overall businessprocess without exposing internal details of their business systems andprocesses.

In addition, the simulation system disclosed herein provides one or morebreakpoints and one or more intervening warp periods. These breakpointsand associated warp periods may be predetermined (e.g., by a simulationcontroller) and/or rule based (e.g., break if the market changes by morethan 5% in one simulated hour). At each breakpoint, the controller ofthe simulation may set and/or adjust various simulation parameters.Similarly, player participants in the simulation may set their ownorganizational parameters and intended organizational actions at eachbreak point.

Once each player participant notifies the controller that they are readyfor simulation time to advance (and/or a time limit for players to setorganizational parameters and actions has expired), the controllerpreferably sets time in the simulation to advance at a rate equal to orgreater than 1:1 when compared to real time, during which theclosed-loop simulation advances and calculates the results ofinteractions between simulated organizations acting within a simulatedbusiness environment. These calculations are based on the player-setparameters and organizational actions as well as controller-setparameters and actions. When the next breakpoint is reached, thesimulation halts the calculations and simulated business interactions.The results of those interactions, as calculated by the simulation, arethen presented to the controller and/or players.

The controller may also return the simulation to any previousbreakpoint. Preferably, returning the simulation to a previousbreakpoint returns the game state for the controller and each of theplayers to the settings as they existed at the beginning of thatbreakpoint before the controller or any player set any organizationalparameters within the simulation.

In this manner, users may participate in simulations covering anextended period of time (e.g., days) while only investing a shorterperiod of actual time (e.g., hours), and at the same time focusing theirobservations and decisions on key time periods of the simulation.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a high level block diagram of a business system showing directand indirect relationships between business entities.

FIG. 2 is a high level block diagram of a communications system.

FIG. 3 is a more detailed block diagram showing one example of acomputing device.

FIG. 4 is a block diagram showing example logical connections between asimulation server and a plurality of business entities.

FIG. 5 is a flowchart of an example process to simulate a financialtransaction system.

FIG. 6 is a screenshot of a top level view of an example graphicalsimulation tool used to create and/or modify a client based simulationmodel.

FIG. 7 is a screenshot of an example portion of internal simulationdetails associated with a local simulation model.

FIG. 8 is a screenshot of an example simulation model showing usagepercentages that are broken down into multiple levels.

FIG. 9 is a screenshot of an example health graph.

FIG. 10 is a screenshot of an example simulation model using a treestructure.

FIG. 11 is a screenshot of another example simulation model using a treestructure.

FIG. 12 is a screenshot of yet another example simulation model using atree structure and showing a details table.

FIG. 13 is a screenshot of a top level view of an example client basedsimulation model showing a connections table.

FIG. 14 is a screenshot of an example simulation model being edited viaa table that includes a trigger value.

FIG. 15 is a screenshot of an example simulation from a server view andtwo different client views.

FIG. 16 is a screenshot of an example simulation from a server view whena server tab is selected.

FIG. 17 is a screenshot of an example simulation from a client view whena client tab is selected.

FIG. 18 is a screenshot of a top level view of an example simulationwhen a disruption occurs.

FIG. 19 is a screenshot of a lower level view of an example simulationwhen a disruption occurs.

FIG. 20 is a screenshot of an example alert message.

FIG. 21 is an example business system tree structure used to define abusiness system, expose certain details of that business system to othersimulation participants, and/or play out different scenarios.

FIG. 22 is a screenshot of an example simulation before any simulationtime has occurred.

FIG. 23 is a screenshot of two example simulation controls fornavigating between breakpoints.

FIG. 24 is a screenshot of several breakpoint examples.

FIG. 25 is a screenshot of an example simulation after a breakpoint hasbeen reached.

DETAILED DESCRIPTION OF EXEMPLARY EMBODIMENTS

FIG. 1 is a high level block diagram of a business system 100 showingdirect and indirect relationships between business entities 102-111.Example business entities include clearing member firms, clearingcorporations, exchange brokers, settlement corporations, settlement anddepository banks, price reporting corporations, service bureaus, powercompanies, and telephone companies. In the example illustrated in FIG.1, five financial institutions 102-110 are shown. However, any number offinancial institutions may be simulated by the disclosed system. Inaddition to the financial institutions 102-110, other business entitiesmay be included in the simulation. For example, one or more utilitycompanies such as a power company, a telephone company, etc. may beincluded in the simulation.

Each business entity may have one or more direct and one or moreindirect relationships. For example, financial institution 104 has adirect relationship with financial institution 102, financialinstitution 106, and financial institution 108. Specifically, financialinstitution 104 takes inputs directly from financial institution 102 andfinancial institution 108. In addition, financial institution 104 feedsoutputs directly to financial institution 106 and financial institution108. These relationships may be based on any user defined criteria. Forexample, relationships between business entities may be at a businessmodel level and/or a data connectivity level. Some business entities mayhave direct relationships with a large number of the other businessentities. For example, a power company may have a direct relationshipwith all of the business entities in a particular geographic region.

Financial institution 104 may have an indirect relationship withfinancial institution 106, financial institution 108, and/or financialinstitution 110. Specifically, financial institution 106 may indirectlyaffect financial institution 104 via financial institution 102. Inaddition, financial institution 106 may affect financial institution110, which in turn may affect financial institution 108, which in turnmay affect financial institution 104. Financial institution 108 may havea direct affect on financial institution 104 and an indirect affect onfinancial institution 104 via financial institution 102. In fact,financial institution 104 may affect financial institution 108, which inturn may affect financial institution 102, which in turn may loop allthe way back to affect financial institution 104. In this example,financial institution 104 does not have an indirect relationship withfinancial institution 102, because financial institution 102 does notsend outputs to any financial institutions other than financialinstitution 104.

In order to simulate the effect of a disruption somewhere in thebusiness system 100 including any ripple effects caused by both thedirect and the indirect relationships, a network communications systemis preferably used. A high level block diagram of an example networkcommunications system 200 is illustrated in FIG. 2. The illustratedsystem 200 includes one or more client devices associated with thebusiness entities 102-111 and one or more simulation servers 202. Eachof these devices may communicate with each other via a connection to oneor more communications channels 204 such as the Internet and/or someother data network, including, but not limited to, any suitable widearea network or local area network. It will be appreciated that any ofthe devices described herein may be directly connected to each otherinstead of over a network.

The simulation server 202 may include one or more computing devices 206and one or more databases 208. One simulation server 202 may interactwith a large number of other devices. Accordingly, each simulationserver 202 is typically a high end computer with a large storagecapacity, one or more fast microprocessors, and one or more high speednetwork connections. Conversely, relative to a typical server 202, eachclient device associated with the business entities 102-111 typicallyincludes less storage capacity, a single microprocessor, and a singlenetwork connection. During a simulation, each participating clientdevice is associated with one or more decision makers 212-221.

A more detailed block diagram of the electrical systems of an examplecomputing device (e.g., a client 102-111 or a server 202) is illustratedin FIG. 3. Although the electrical systems of these computing devices102-111, 202 may be similar, the structural differences between thesedevices are well known. The example computing device 102-111, 202includes a main unit 302 which preferably includes one or moreprocessors 304 electrically coupled by an address/data bus 306 to one ormore memory devices 308, other computer circuitry 310, and one or moreinterface circuits 312. The processor 304 may be any suitable processor,such as a microprocessor from the INTEL PENTIUM® family ofmicroprocessors. The memory 308 preferably includes volatile memory andnon-volatile memory. Preferably, the memory 308 stores a softwareprogram that interacts with the other devices in the communicationssystem 200 as described below. This program may be executed by theprocessor 304 in any suitable manner. The memory 308 may also storedigital data indicative of documents, files, programs, web pages, etc.retrieved from another computing device 102-111, 202 and/or loaded viaan input device 314.

The interface circuit 312 may be implemented using any suitableinterface standard, such as an Ethernet interface and/or a UniversalSerial Bus (USB) interface. One or more input devices 314 may beconnected to the interface circuit 312 for entering data and commandsinto the main unit 302. For example, the input device 314 may be akeyboard, mouse, touch screen, track pad, track ball, isopoint, and/or avoice recognition system.

One or more displays, printers, speakers, and/or other output devices316 may also be connected to the main unit 302 via the interface circuit312. The display 316 may be a cathode ray tube (CRTs), liquid crystaldisplays (LCDs), or any other type of display. The display 316 generatesvisual displays of data generated during operation of the computingdevice 102-111, 202. The visual displays may include prompts for humaninput, run time statistics, calculated values, data, etc.

One or more storage devices 318 may also be connected to the main unit302 via the interface circuit 312. For example, a hard drive, CD drive,DVD drive, and/or other storage devices may be connected to the mainunit 302. The storage devices 318 may store any type of suitable data.

The computing device 102-111, 202 may also exchange data with othernetwork devices 320 via a connection to the network 204. The networkconnection may be any type of network connection, such as an Ethernetconnection, digital subscriber line (DSL), telephone line, coaxialcable, etc. Users of the communications system 100 may be required toregister with one or more of the computing devices 102-111, 202. In suchan instance, each user may choose a user identifier (e.g., e-mailaddress) and a password which may be required for the activation ofservices. The user identifier and password may be passed across thenetwork 204 using encryption. Alternatively, the user identifier and/orpassword may be assigned by the computing device 102-111, 202.

As discussed above, the computing devices 102-111, 202 communicate viathe network. As discussed in more detail below, each computing device102-111, 202 operated by the associated decision makers 212-221 performsa portion of an overall simulation. FIG. 4 is a block diagram showingexample logical connections between a simulation server 202 and aplurality of business entity client devices 102-106, 111. In thisexample, each participating business entity client device 102-111executes a local simulation model 402-411. Each local simulation model402-411 communicates with a simulation engine 422 via a correspondingbusiness entity simulation interface 412-420. The simulation interfaces412-420 may be separate as shown, or the simulation interfaces 412-420may be combined.

The simulation interfaces 412-420 determine if the corresponding clientdevice 102-111 is connected and participating. If a client device102-111 is not connected and participating when a simulation is beingexecuted, the simulation interface 412-420 interacts with acorresponding server simulation model 422-430 instead of the clientsimulation model 402-411. For example, financial institutions 108-110are not connected in the example of FIG. 4. In such an instance, iconsrepresenting the client simulation model 402-411 are preferably grayedout. Preferably, client simulation models 402-411 are accuraterepresentations of actual business models created by the associatedfinancial institutions. In contrast, server simulation models 422-430are preferably substitutes for one or more client simulation models402-411. The server simulation models 422-430 may be default models forthe type of business entity 102-111 that is not connected, and/or theserver simulation models 422-430 may be modified.

A flowchart of an example process 500 to simulate a business system suchas a financial transaction system is illustrated in FIG. 5. Preferably,the simulation process 500 is embodied in one or more software programswhich is stored in one or more memories and executed by one or moreprocessors. For example, the simulation process 500 may be softwarerunning on the simulation server 202 and/or one or more of the businessentity client devices 102-111. Although the simulation process 500 isdescribed with reference to the flowchart illustrated in FIG. 5, it willbe appreciated that many other methods of performing the acts associatedwith simulation process 500 may be used. For example, the order of manyof the steps may be changed, and some of the steps described may beoptional.

Generally, the simulation process 500 executes a business systemsimulation such as a financial transaction simulation in a securedistributed manner by keeping details associated with each businessentity's business model (e.g., financial institution model 402-410)local to a client device 102-111 associated with that business entityand routing data from one local simulation 402-411 to another localsimulation 402-411 via the simulation server 202. In addition, thesimulation server 202 acts as the overall master of the simulation andsupplies server based simulation modules to replace unconnected businessentities 102-111. Interruptions in data and other business flows causedby simulated disruptions and decision maker's reactions to thosedisruptions are propagated to all of the effected simulationparticipants via the simulation server 202. These disruptions andreactions may be introduced at the simulation server 202 and/or at anyclient device 102-111.

More specifically, each business entity creates a local client basedsimulation model 402-411 (block 502). As described in more detail belowwith references to example screenshots of the simulation system, eachbusiness entity 102-111 creates a simulation model of itself andindicates connections to its direct relationships. As described abovewith reference to FIG. 1, the modeled business entities 102-111 has adirect relationship with other business entities 102-111 that directlyaffect the modeled business entity 102-111 and a direct relationshipwith other business entities 102-111 that are affected by the modeledbusiness entity 102-111. For example, an invoked policy at one businessentity 102-111 may directly affect another business entity's businessmodel, and/or data from one business entity 102-111 may directly affectanother business entity 102-111.

The client simulation model 402-411 may be as general or as specific asthe designer wants the client simulation model 402-411 to be. Forexample, a general client simulation model 402-411 may model businessrules like “if oil goes above a certain price, close all trades.” Ageneral communications systems model may indicate that each computingsystem is located in the West Coast region, the Midwest region, or theEast Coast region. Alternatively, a specific client simulation model402-411 may include a plurality of details about what types of eventsaffect what type of trades and/or details about the buildings and citieswhere the computing systems are located.

Once the designer of the local client based simulation model 402-411 issatisfied with the local client based simulation of his own businessentity 102-111, the designer may connect the local client basedsimulation model 402-411 to the client simulation models of otherbusiness entities 102-111 by registering with the simulation server 202(block 504). The details of the client based simulations 402-411 are notexposed to the simulation server 202 unless the designer chooses toexpose one or more levels of detail. For example, a business entity102-111 may choose to expose details about the geographic locationsand/or roles of its facilities but not what business rules thosefacilities follow and/or not how many or what type of devices arelocated at those facilities.

After one or more client based simulations 402-411 are connected via thesimulation server 202, the simulation server 202 can execute one or moresteps of the overall financial simulation (block 506). However, certainoutputs from the overall financial simulation can only be processed bythe connected client based simulations 402-411 and the correspondingdecision makers 212-221, and certain inputs to the overall financialsimulation can only come from the connected client based simulations402-411 and the corresponding decision makers 212-221. Accordingly, atailored view of the output of the overall business simulation is sentto each connected business entity's client simulation 402-411 (block508).

In other words, each client simulation 402-411 receives inputsassociated with that client simulation 402-411 based on that clientsimulation's role within the overall business model. For example, dataindicative of a plurality of stock purchases may be sent from thesimulation server 202 to a client based simulation 402-411 of a clearingcorporation 110. Preferably, the simulation data sent to each clientsimulation 402-411 is also scaled to match that client simulation'srole. For example, a small brokerage would receive fewer trades than alarge brokerage. Accordingly, by using pie charts to define simulationvariables, each entity can define its interactions as a percentage of awhole (e.g., as a percentage of a daily average trading volume). Inaddition, by using a hierarchy of optional pie charts, each entity canchoose to define its business model at any level of detail.

If a client simulation 402-411 is disabled or otherwise unavailable, theoutput of the overall financial simulation may be sent to acorresponding server based simulation 422-430 representing the clientbased simulation 402-411 (block 508). As discussed above, clientsimulation models 402-411 are preferably accurate representations ofactual business models, and server simulation models 422-430 arepreferably substitutes for one or more client simulation models 402-411.For example, when a particular client based simulation 402-411 is notconnected, the simulation server 202 may use a server based simulationrepresenting the particular client based simulation 402-411. The serverbased simulation may be a simple software stub that accepts and/orgenerates a certain amount of canned financial transactions, or theserver based simulation may be a complex financial simulation model. Forexample, the server based simulation may include the exposed portion ofthe corresponding client based simulation 402-411.

Each connected business entity 102-111 also sends outputs from its localclient based simulation 402-411 to the simulation server 202 (block510). For example, data indicative of a plurality of stock purchaseconfirmations may be sent from a client based simulation 402-411 to thesimulation server 202. Alternatively, the output of a server basedsimulation representing a client based simulation 402-411 may be sent tothe simulation server 202 (block 510).

Each business entity 102-111 participating in the simulation, and/orother business entities 102-111 given permission, may view thesimulation at varying permission levels (block 512). However, eachbusiness entity 102-111 can only view and modify the internal details ofits own model unless the other business entities 102-111 explicitlyexpose their own details (block 512). For example, one business entity102-111 may model itself with four layers of detail and expose the firsttwo layers of that detail to other business entities 102-111 for viewingbut not for modifying.

Once the overall simulation is running, any authorized business entity102-111 may introduce one or more disruptions (block 514). For example,a business entity 102-111 may shut down all business operations at aparticular geographic location. Although other participants in thesimulation may not have access to low levels of the simulation detail(i.e., that financial institution 102-110 did not expose that it hadcertain business rules and/or devices at a certain location), otherbusiness entities 102-111 affected by the disruption, will see theeffect of the disruption on their view of the overall simulation. Inaddition, chronological disruption scenarios may be executed. Forexample, a user of a simulation may want to see the effect of executingone business rule at one time and another business rule at a subsequenttime.

Any modifications to client simulation models 402-411, any new clientsimulation models 402-411, any new connections between client simulationmodels, and any exposed disruptions, are uploaded to the simulationserver 202 (block 516). Subsequently, the process steps 506-516 repeat.As a result, the overall simulation, including the affect of anydisruptions is viewable by all authorized simulation participants.

FIG. 6 is a screenshot of a top level view of an example graphicalsimulation tool 600 used to create and/or modify a client basedsimulation model 402-411. In this example, the graphical simulation tool600 includes a design canvas 602 where icons representing businessentities 102-111 may be placed from a palette of available icons (notshown). In this example, a designer for a financial institution 104 iscreating a client simulation model 404 called “BrokerCo.” As indicatedby connector lines 604, BrokerCo has direct relationships with itscustomers 102, their counter parties 106, one or more exchanges 108, oneor more clearing corporations 110, and one or more third party providers112.

Each business entity 102-112 represented in the simulation is modeled bya hierarchy of business entity detail. A branch indicator 606 associatedwith each business entity 102-112 indicates the number of branches belowthat level of the model. For example, the BrokerCo icon 104 includes twobranch indicators 606.

As shown in a drilldown window 702 associated with the BrokerCo businessentity 104 (see FIG. 7), these two branch indicators 606 are indicativeof two geographical locations associated with the BrokerCo line ofbusiness. Specifically, the BrokerCo example includes a Jersey Citylocation 704 and a San Francisco location 706.

In another drilldown window 708, the Jersey City location 704 is brokendown into a first building 710 and a second building 712. In a anotherdrilldown window 714, the first building 710 is broken down into a firstcomputer system 716 and a second computer system 718. The finaldrilldown window 720 in this example shows usage percentages for thefirst computer system 716 in a pie chart 722. The user can create andlabel any number of sections in the pie chart, and the percentages maybe set by entering a number, dragging a scroll bar 724, dragging a pieedge 726, and/or any other suitable manner. Although computer systemsand their responses to outside data are used as examples thorough outthis description, it will be appreciated that any business rules may besimulated. For example, person to person interactions, person to machineinteractions, and machine to person interactions may be simulated.

Usage percentages may be broken down into any number of standard and/orcustom levels. The purpose of each level and whether a level is exposedto other users is determined by the simulation designer. In this manner,the system may be tailored and scaled to fit different types of users(e.g., large institutions and small institutions). For example, in FIG.8 the customers icon 102 is first broken down into 20% mutual fundcustomers 802, 10% retail customers 804, 10% third party customers 806,and 60% institutional customers 808. Then the mutual fund customers 802are further broken down into 18% from Business 1 (810), 42% fromBusiness 2 (812), 30% from Business 3 (814), and 10% from Business 4(816).

In addition to the usage percentages described above, each elementdefined in a simulation model may be associated with a health percentage902 in a health graph 900 as shown in FIG. 9. The health of an entitymay be measured in time, money, and/or any other suitable units. In thisexample, a minimum health percentage 904 and a maximum health percentage906 is defined for each hour 908 of a day. Different days of the weekand months of the year may have different health percentage definitions.For example, the “health” of a broker personal element may be lower oncertain holidays. Values in the health graph 900 may be edited in atable and/or by graphically dragging one or more grip points in thehealth graph 900. During execution of the simulation, the actual healthpercentage 910 may be displayed on the health graph 900. If the actualhealth percentage 910 goes above the maximum health percentage 906and/or below the minimum health percentage 904, the system may generatean alert (see FIG. 20).

Information in a simulation model may also be viewed and modified usinga tree structure 1002 as shown in FIGS. 10-12. From the tree structure1002, icons can be added, deleted, expanded, collapsed, dragged toanother portion of the simulation model, and/or dragged to anothersimulation. For example, if a business entity sells all of the assets ata particular location, the simulation model of that location may bemoved from the seller's simulation model to the buyer's simulationmodel. In the example shown in FIG. 12, the “Transfer” role 1202 of theBrokerCo finical institution 104 is selected. As a result, a transfertable 1204 is displayed. The example transfer table 1204 includes a name1206, a percent 1208, and a speed 1210 for each of the three examplesshown. By selecting other icons, other tables may be displayed. The usermay add, delete, and/or modify the simulation model via these tables.

In addition to editing business entities 102-112 of the simulation modelvia tables, connections between business entities 102-112 may be editedvia a connections table 1302 when the user selects a connector line 604,as shown in FIG. 13. In this example, the connections table 1302includes a “From” column 1304, a “To” column 1306, a “Physical” column1308, and a “Protocol” column 1310. The “From” column 1304 indicates astarting business entity 102-112 for a connection, and the “To” column1306 indicates an ending business entity 102-112 for the connection. The“Physical” column 1308 indicates the physical type of connection (e.g.,ISDN, T1, T3, OC3, fiber optic, etc.), and the “Protocol” column 1310indicates the protocol used on the connection (e.g., DOT, voice, FAX,etc.).

Another example of editing a simulation model via a table 1402 isillustrated in FIG. 14. In this example, details associated with a“Communication” branch 1404 of a “Clearing Corporation” 1406 are beingedited. The table 1402 includes a “Name” column 1408, a “Health” column1410, an “Excess” column 1412, a “Location” column 1414, a “Cost” column1416, a “Trigger” column 1418, a “Lag Time” column 1420, and a“Priority” column 1422. This example shows that the primarycommunication line named “T1” is currently at 50% health. The “T1” linehas a trigger indicating that if it goes below 15% health, there is aswitch over to a backup communications line called “Telephone” thatincluded 10 excess lines. However, this switch over has a cost of $5000and takes 1 hour to complete.

When the simulation is running, different participants may havedifferent views of the simulation. Three example views are shown in FIG.15. A server view 1502 shows all of the nodes of the simulation at thehighest level. In addition, a user with the server view may drill downto any exposed details. A BrokerCo view 1504 only shows the BrokerCobusiness entity 104 and its direct relationships (including a connectionto Exchange 108). An Exchange view 1506 only shows the Exchange businessentity 108 and its direct relationships (including a connection toBrokerCo 104).

Similarly, one participant may switch between different views. Forexample, the server view 1502 is shown in FIG. 16 because the user hasselected a server tab 1602 as opposed to a client tab, such as aBrokerCo tab 1604. As shown in FIG. 17, when the BrokerCo tab 1604 isselected, the BrokerCo view 1504 is shown.

A master scenario events list controls one or more disruptions to thenormal flow of business operations between the simulated businessentities 102-112. The disruptions may be initiated by any authorizedparticipant. For example, a user with the server view 1502 may be theonly participant authorized to introduce disruptions. Alternatively,each participant may be authorized to initiate disruptions associatedwith itself and/or its direct relationships. A query engine allows auser to search for, select, and disrupt certain business entities102-112. For example, a user may want to simulate a disruption of all“East Coast” business entities 102-112. In one embodiment, the logicalconnection maps are overlaid onto a physical location map. In such aninstance, disruptions associated with certain geographies may beintroduced graphically.

As shown in FIG. 18, when a business entity 102-112 is disrupted (eitherdirectly or indirectly), the branch indicator 606 associated with thatbusiness entity 102-112 acts as a meter bar to visually indicate (e.g.,by a color change) that a problem is occurring. In this example, theMutual Funds portion 1802 of the Customers entity 102 is having aproblem. As a result, BrokerCo's order management role 1804 is notreceiving its expected volume of business, and the color of theassociated branch indicator 1804 is changed from green to yellow. In aripple effect, BrokerCo's Trade processing role 1806 also reports aproblem by changing color.

More detail about a particular problem may be viewed by calling up thepie charts that define the simulation models. For example, in FIG. 19,five example pie charts are shown. The Customers icon 102 is indicatinga problem with its mutual fund branch 1902. The mutual fund pie chart1904 shows that the problem is with the Scudder branch 1906 as indicatedby an inner meter 1908 that does not arc across the entire slice and/oran inner meter 1908 that has a different color. For example, thepercentage of arc of the inner meter 1908 may indicated the percentageof health. Alternatively, or in addition, the inner meter 1908 may becolored a first color (e.g., green) for a first level of health (e.g.,100%), a second color (e.g., yellow) for a second level of health (e.g.,50%-99%), and a third color (e.g., red) for a third level of health(e.g., 0%-49%).

Drilling down further in this example reveals that the T1 line 1910 atScudder 1906 is almost completely down. As a result, counter parties 106are starting to experience problems 1912, 1914 and BrokerCo 102 isstarting to experience problems 1916, 1918. As shown in FIG. 20,whenever a business entity 102-112 experiences a problem, an alertmessage 2000 may be generated. These alerts may be triggered bythresholds set by the user.

FIG. 21 is an example business system tree structure 2100 used to definea business system, expose certain details of that business system toother simulation participants, and/or play out different scenarios. Asdescribed above, each client simulation model 402-411 may be constructedusing this example hierarchy. For example, a user could define whatdevices are located at what locations within an organization and whatroles those devices play in the business model for that organization asshown in FIG. 11. Once a user has defined his/her client simulationmodel 402-411, the user may use the tree structure 2100 to select whatlevels of detail other simulation participants may see. For example, theuser may choose to expose all details at the role level and above asshown in FIG. 11. During a simulation scenario, participants may respondto simulated events quickly using the tree structure 2100. For example,if flood is predicted for a particular geographical region, a simulationparticipant may quickly select that region in the tree structure 2100,shut all of the devices at that location down, and start a transferprocess to use a backup location for those business functions. Ifswitching over to that backup location takes one hour, other simulationparticipants may be directly or indirectly affected by the fact that theoriginal location has been shut down.

As discussed above, the simulation system disclosed herein provides oneor more breakpoints and one or more intervening warp periods. Thesebreakpoints and associated warp periods may be predetermined and/or rulebased. At each breakpoint, the controller of the simulation may setand/or adjust various simulation parameters. Similarly, playerparticipants in the simulation may set their own organizationalparameters and intended organizational actions at each break point.During the warp period between breakpoints, the closed-loop simulationadvances and calculates the results of interactions between simulatedorganizations acting within a simulated business environment based onthe player-set parameters and organizational actions as well ascontroller-set parameters and actions. When the simulation halts at thenext breakpoint, the results of those interactions are presented to thecontroller and/or players. The controller may also return the simulationto any previous breakpoint. Preferably, returning the simulation to aprevious breakpoint returns the game state for the controller and eachof the players to the settings as they existed at the beginning of thatbreakpoint before the controller or any player set any organizationalparameters within the simulation.

FIG. 22 is a screenshot 2200 of an example simulation before anysimulation time has occurred. In this example, the start 2202 of thesimulated day is 8:00 AM on Monday Jan. 23, 2012. The first breakpoint2204 occurs at 1:00 PM on that same day. In this example, thisbreakpoint 2204 was predetermined by the simulation controller. Thesimulation controller may set additional breakpoints by selecting a “setnext breakpoint” control 2206. These breakpoints may be other simulatedtimes and/or rule based. For example, the simulation controller may seta breakpoint for any time the market changes by more than somepredetermined rate of change (e.g., >5% in one simulated hour). In someembodiments, one or more player participants may be allowed to set abreakpoint time and/or create a breakpoint rule. The controller and/prplayers may also decide if break times should be displayed by selectinga “Display Break Times” check box 2208.

Once the controller has set one or more breakpoints, the controller maystart the simulation by pressing a play button 2210 (e.g., after eachplayer participant has set their own organizational parameters andintended organizational actions, and after the controller has setvarious simulation parameters). The controller may also revert to anearlier breakpoint using a back button 2212 and stop the simulationusing a stop button 2214. When the controller presses the play button2210 (or starts the simulation in any suitable manner), the softwareprogram advances time in the simulation from the current breakpoint tothe next second breakpoint at a rate that is faster than real-time.

FIG. 23 is a screenshot of two example simulation controls fornavigating between breakpoints. The “advance exercise” dialog box 2302gives the controller an opportunity to confirm 2304 or cancel 2306 thewarping of the simulation from one breakpoint to the next break point.As described above, once the controller has set one or more breakpoints,the controller may start the simulation by pressing a play button 2210.The controller may also revert to an earlier breakpoint using a backbutton 2212 and stop the simulation using a stop button 2214.

FIG. 24 is a screenshot of several breakpoint examples. In the firstexample 2402, the current simulated time is 9:48 AM on Monday Jan. 23,2012. In this example, the next breakpoint occurs at 1:00 PM on thatsame day. In the second example 2404, the current simulated time is10:14 AM on Monday Jan. 23, 2012. In this example, the next breakpointoccurs at 1:00 PM on that same day. In the third example 2406, thecurrent simulated time is 11:58 AM on Monday Jan. 23, 2012. In thisexample, the next breakpoint occurs at 1:00 PM on that same day. In thefourth example 2408, the current simulated time is 1:00 PM on MondayJan. 23, 2012. In this example, the next breakpoint occurs at 1:30 PM onthat same day.

FIG. 25 is a screenshot 2500 of an example simulation after a breakpoint2502 has been reached. In this example, a dialog box 2502 indicates thatthe breakpoint 2504 occurred at 1:00 PM of simulated time. In thisexample, the next breakpoint 2506 is set to occur at 1:30 PM. However,the controller could choose to set an earlier and/or a later breakpointusing the “set next breakpoint” control 2206.

In summary, persons of ordinary skill in the art will readily appreciatethat methods and apparatus for advancing time in a distributed businessprocess simulation are disclosed. Specifically, the simulation systemdisclosed herein uses a secure distributed model wherein each businessentity models itself on a local client device at any chosen level ofdetail, and a simulation server connects the separate client basedsimulations into one large simulation without exposing unauthorizeddetails of one participant's internal simulation details to anothersimulation participant.

The foregoing description has been presented for the purposes ofillustration and description. It is not intended to be exhaustive or tolimit the invention to the example embodiments disclosed. Manymodifications and variations are possible in light of the aboveteachings. It is intended that the scope of the invention be limited notby this detailed description of examples, but rather by the claimsappended hereto.

What is claimed is:
 1. A method of executing a business processsimulation, the method comprising: executing a first portion of thebusiness process simulation at a first client device; executing a seconddifferent portion of the business process simulation at a second clientdevice; executing a third portion of the business process simulation ata third client device, the third portion of the business processsimulation having an indirect influence on the first portion of thebusiness process simulation via the second portion of the businessprocess simulation; and executing a software program on a simulationserver, the software program determining simulation data associated withthe first client device, the second client device, and the third clientdevice, wherein the software program advances time in the businessprocess simulation to a breakpoint, wherein the breakpoint is based on abusiness rule.
 2. The method of claim 1, wherein the software programuses predetermined substitute data if the software program does notreceive simulation data from the first client device.
 3. The method ofclaim 1, wherein the software program facilitates creation of asimulation model that indicates a plurality of simulation model detailsto be exposed to other simulation participants.
 4. The method of claim3, wherein the software program facilitates creation of a simulationmodel that indicates a plurality of simulation model details to behidden from other simulation participants.
 5. The method of claim 1,wherein the software program facilitates creation of a simulation modelthat indicates a plurality of simulation model details to be hidden fromother simulation participants.
 6. The method of claim 1, wherein thesoftware program receives a disruption command via a user input deviceat the simulation server and transmits an effect of the disruptioncommand to the first client device and the second client device.
 7. Themethod of claim 6, wherein the disruption command is associated with ageographical region.
 8. The method of claim 7, wherein the geographicalregion that is graphically selected via a map.
 9. The method of claim 1wherein the first client device includes the second client device. 10.The method of claim 9 wherein the first client device includes the thirdclient device.
 11. The method of claim 10 wherein the first clientdevice includes the simulation server.
 12. The method of claim 1 whereinone or more of the first client device, the second client device, andthe third client device includes the simulation server.